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dist-epochtoday at 7:55 AM1 replyview on HN

I thought that software engineers were supposed to do, you know, engineering - solving hard problems, dealing with uncertainty.

But you might be right, engineering around the difficult LLM primitive might be a task which is just too hard for your typical software engineer, as you said, they want predictability, hand holding, determinism, most are unable to deal with the real world which is not a spherical cow in a vacuum. So I guess they can stick to simple very well understood primitives like EC2 or Postgres and leave dealing with LLMs for others.


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mhitzatoday at 11:21 AM

I'm a pleb developer, don't have the smarts, the prestige or the salary of those working at BigTech.

When AI firms ate more than half of global VC private investment in 2025 https://www.oecd.org/en/about/news/announcements/2026/02/ai-... I would expect better results than what we have today.

The most well paid people in the industry brought us here. And "here" is very much as fuzzy as last year with better harnessing towards the local optima. And I say local optima because even the perceived capabilities have slowed down, nevermind the benchmark numbers which are in aggrement.

The best paid engineers in the world, with almost no practical budget limit, still deliver shoddy quality software with AI. Is that not fact? And if it is what does that say for the rest of us.

You are allowed to believe. I'm still waiting for the beneficial results, not only those that benefit griefters, hackers and scammers. AI has been a huge boon there.

Reality will materialize and markets will redress hopefully once they go public. Which they very much seem to be hesitant to do right now.